Role

We are looking for a Sr Staff Software Development Engineer. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering.

You will join the Central Authority team working on the control plane for the Zscaler Internet Access (ZIA) product, which has redefined how security services are delivered in the cloud. You will bring your expertise in security protocols and services to a team that built the world’s largest cloud security platform from the ground up.

What you’ll do (Role Expectations)

• Design, develop, and optimize critical control path features within our global Cloud Infrastructure
• Own and scale components of a large-scale distributed system with a focus on high performance and reliability
• Leverage AI-powered tools to drive advanced problem solving and enhance engineering efficiency
• Mentor junior engineers to build technical excellence and maintain high standards across the engineering organization

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s or Master’s Degree in Engineering or Computer Science with 8+ years of experience
• Hands-on experience in modern programming languages such as GoLang, Java, or Python
• Strong Distributed systems knowledge
• Hands-on experience with Docker, K8, and Public clouds such as AWS, Azure, GCP, etc
• Hands-on experience with any RDBMS (PostgreSQL preferred), including working knowledge of polyglot persistence on Hyperscalers

What Will Make You Stand Out (Preferred Qualifications)

• Knowledge of networking protocols including DNS, HTTP, TCP/IP, and SSL/TLS
• Knowledge of authentication protocols like LDAP, SAML, and OAuth

#LI-Hybrid #LI-VV3

Role 

We are looking for a Principal Software Development Engineer to join our Central Authority department. This is a Hybrid, Bangalore role, reporting to the Sr. Director, Application Engineering - Central Authority. You will work on the control plane for the Zscaler Internet Access (ZIA) product, which has redefined how security services are delivered in the cloud. You bring a deep understanding of security protocols and services to help us build the next generation of cloud security.

What you’ll do (Role Expectations)

• Practice technical leadership in the design, development, and optimization of control path features in Cloud Infrastructure
• Define and execute the technical roadmap ensuring alignment with business goals
• Develop and own components of a large-scale distributed system with a focus on scalability
• Use AI-powered tools for advanced problem solving and engineering efficiency
• Mentor other engineers to foster technical growth and excellence

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s or Master’s Degree in Engineering or Computer Science with 13+ years of experience
• Hands-on experience in modern programming languages such as GoLang, Java, or Python
• Strong Distributed systems knowledge
• Hands-on experience with Docker, K8, and Public clouds such as AWS, Azure, GCP, etc
• Hands-on experience with any RDBMS (PostgreSQL preferred), including working knowledge of polyglot persistence on Hyperscalers

What Will Make You Stand Out (Preferred Qualifications)

• Knowledge of networking protocols including DNS, HTTP, TCP/IP, and SSL/TLS
• Knowledge of authentication protocols like LDAP, SAML, and OAuth

#LI-Hybrid #LI-VV3

Role 

We are looking for a Senior Database Developer (PostgreSQL/MySQL/AWS Aurora, SQLite) to join our team in a Hybrid (Bangalore, Hyderabad or Mohali) capacity, reporting to the Senior Director, Software Engineering. You will design, build, and optimize high-performance database systems at planet scale, owning data modeling, complex SQL development, and cloud-native automation. This role is critical for supporting sharded, high-throughput workloads and ensuring the reliability of our global data infrastructure.

What you’ll do (Role Expectations)

• Design and evolve high-scale data models, partitioning strategies, and sharding patterns to support massive transactional and analytical workloads
• Optimize query performance and database internals across Postgres and MySQL fleets using advanced profiling tools and configuration tuning
• Lead the operation and scaling of AWS Aurora environments, including Serverless v2, Global Databases, and read replica management
• Architect and execute zero-downtime schema migrations and robust disaster recovery strategies to ensure world-class system reliability
• Standardize database observability and automation by building CI/CD pipelines for schema changes and managing infrastructure as code

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 6+ years of professional experience with relational databases, including 3+ years operating cloud databases such as AWS Aurora or RDS in production
• Expert-level proficiency in SQL, PL/pgSQL, and MySQL stored routines with a track record of optimizing systems handling thousands of TPS/QPS
• Deep technical knowledge of database internals including MVCC, WAL, vacuuming, and InnoDB locking mechanisms
• Hands-on experience with data modeling, partitioning, and infrastructure as code tools like Terraform or CloudFormation
• Advanced skills in performance diagnostics using tools like EXPLAIN ANALYZE, pg_stat_statements, and Performance Insights

What Will Make You Stand Out (Preferred Qualifications)

• Experience with streaming platforms like Kafka and managing database operations within Kubernetes environments
• Proven ability to drive cost and performance optimization for cloud databases through IOPS and storage class tuning
• Knowledge of connection management tools like PgBouncer and integration with search engines like Elasticsearch

#LI-Hybrid #LI-AN4

Role 

We are looking for a Senior Staff Software Development Engineer (C and Go) to join our Engineering team. This is a hybrid role based in Bangalore (3 days a week in office), reporting to the Senior Director of Software Development 

You will work on the control plane for the Zscaler Internet Access (ZIA) and ZDX products, which has redefined how security services are delivered in the cloud.

What you’ll do (Role Expectations)

• Practice technical leadership in design, development, and optimization of control path features in Cloud Infrastructure
• Define and execute the technical roadmap ensuring alignment with business goals
• Develop and own components of a large-scale distributed system with a focus on scalability
• Use AI-powered tools for advanced problem solving and engineering efficiency
• Mentor other engineers

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 10+ years of software engineering experience, programming in Go or Java
• Deep expertise in networking protocols (DNS, HTTP, TCP/IP, SSL/TLS) and designing high-throughput, low-latency, horizontally scalable systems
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud with a deep understanding of Kubernetes (AWS EKS) and container infrastructure
• Operational excellence with familiarity in monitoring tools like Prometheus and Grafana for debugging complex, large-scale systems
• Deep understanding of Kubernetes (AWS EKS) and container infrastructure

What Will Make You Stand Out (Preferred Qualifications)

• Knowledge of PostgreSQL and hands-on experience with design patterns for building scalable, reliable control planes including state management and RBAC
• Experience with gRPC, Protobuf, or similar serialization and RPC frameworks
• Strong fundamentals in high-performance computing, distributed systems, event-based programming, and memory optimization

#LI-Hybrid #LI-AN4

#LI-RM6 #LI-Hybrid

As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.

Key Responsibilities

• Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
• ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
• Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
• AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
• Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
• Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
• Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.

Required Qualifications

• 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
• Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
• Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
• Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
• Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
• Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
• Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
• Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
• Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
• Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
• Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
• Experience with model serving and optimization for real-time inference (latency-critical environments).
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
• Knowledge of microservices architecture and event-driven design patterns in distributed systems.
• Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Responsibilities:

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

Company Profile:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

We're looking for an experienced FreeSWITCH Developer / VoIP Software Engineer to design, develop, and maintain the telephony solutions that power Vonage's call processing platform. You'll build real-time voice communication systems that handle millions of calls, developing features like call processing, recording, voicemail, conferencing, and external service integrations. This is a critical role where your work directly impacts business communications for customers worldwide.

What You'll Do

Core Responsibilities

• Build scalable telephony systems — Design and develop distributed, high-volume production telephony applications for our UCaaS platform that handle real-time voice traffic at scale
• Develop custom FreeSWITCH solutions — Create custom modules, dialplan configurations, and ESL (Event Socket Library) integrations for advanced call control and automation
• Deliver advanced telephony features — Implement call recording, voicemail transcription, fax processing, audio streaming, and other mission-critical voice features
• Rapid prototyping to production — Build proof-of-concepts quickly and evolve them into production-ready, maintainable code
• Drive technical innovation — Evaluate emerging telephony technologies and recommend architectural improvements that enhance our platform capabilities
• Mentor and lead — Guide team members on design patterns, best practices, and telephony architecture decisions

Day-to-Day Collaboration

• Participate in the full agile development lifecycle: sprint planning, design reviews, standups, and demos
• Respond promptly to production incidents affecting customers and business operations
• Work independently on end-to-end feature delivery while contributing to broader team goals
• Partner closely with Product Management, QA, and Operations teams to deliver cohesive solutions
• Communicate progress, blockers, and technical decisions clearly with engineering leadership

What You'll Bring

Required Experience & Skills

Telephony & VoIP Expertise (Must-Have)

• 6+ years of software development experience
• 3+ years hands-on experience with telephony platforms: FreeSWITCH, Asterisk, or similar open-source PBX systems
• Deep understanding of:
• SIP (Session Initiation Protocol) and RTP protocols
• VoIP architecture and NAT traversal techniques (STUN, ICE, TURN)
• Audio codecs (G.711, Opus, etc.)
• Dialplan development and call flow design

Programming & Development

• Strong proficiency in Java, C/C++, Python, and SQL
• Experience with CI/CD pipelines and modern development workflows
• Infrastructure as Code practices
• Containerization with Docker and Kubernetes

Cloud & Infrastructure

• Hands-on experience with AWS services: EC2, EKS, Lambda, S3, SNS, SQS, CloudFront
• Linux systems expertise: performance tuning, networking, file systems
• Database experience with:
• Relational: MySQL, PostgreSQL
• NoSQL: Redis, MongoDB

Problem-Solving & Debugging

• Proven troubleshooting skills in complex, distributed production environments
• Systematic debugging approach for real-time communication systems
• Experience analyzing performance bottlenecks and system failures

Nice to Have

• Experience with WebRTC
• Familiarity with Kamailio, OpenSIPS, or other SIP proxies
• Knowledge of PSTN interconnection and carrier integrations
• Previous UCaaS or CPaaS platform experience
• Contributions to open-source telephony projects
• Experience with monitoring and observability tools (Prometheus, Grafana, Datadog)

Why This Role Matters

As a FreeSWITCH Developer at Vonage, you'll work on voice infrastructure that powers critical business communications globally. Your code will directly enable features that millions of users depend on daily, and you'll have the opportunity to shape the architecture of next-generation voice platforms.

Work Style

• Ownership mindset — Take features from concept to production
• Collaborative approach — Work across teams while driving your work independently
• Customer focus — Balance feature velocity with reliability and user experience
• Continuous improvement — Stay current with telephony trends and share knowledge with the team

About the Role:

We're looking for an experienced FreeSWITCH Developer / VoIP Software Engineer to design, develop, and maintain the telephony solutions that power Vonage's call processing platform. You'll build real-time voice communication systems that handle millions of calls, developing features like call processing, recording, voicemail, conferencing, and external service integrations. This is a critical role where your work directly impacts business communications for customers worldwide.

What You'll Do

Core Responsibilities

• Build scalable telephony systems — Design and develop distributed, high-volume production telephony applications for our UCaaS platform that handle real-time voice traffic at scale
• Develop custom FreeSWITCH solutions — Create custom modules, dialplan configurations, and ESL (Event Socket Library) integrations for advanced call control and automation
• Deliver advanced telephony features — Implement call recording, voicemail transcription, fax processing, audio streaming, and other mission-critical voice features
• Rapid prototyping to production — Build proof-of-concepts quickly and evolve them into production-ready, maintainable code
• Drive technical innovation — Evaluate emerging telephony technologies and recommend architectural improvements that enhance our platform capabilities
• Mentor and lead — Guide team members on design patterns, best practices, and telephony architecture decisions

Day-to-Day Collaboration

• Participate in the full agile development lifecycle: sprint planning, design reviews, standups, and demos
• Respond promptly to production incidents affecting customers and business operations
• Work independently on end-to-end feature delivery while contributing to broader team goals
• Partner closely with Product Management, QA, and Operations teams to deliver cohesive solutions
• Communicate progress, blockers, and technical decisions clearly with engineering leadership

What You'll Bring

Required Experience & Skills

Telephony & VoIP Expertise (Must-Have)

• 8+ years of software development experience
• 5+ years hands-on experience with telephony platforms: FreeSWITCH, Asterisk, or similar open-source PBX systems
• Deep understanding of:
• SIP (Session Initiation Protocol) and RTP protocols
• VoIP architecture and NAT traversal techniques (STUN, ICE, TURN)
• Audio codecs (G.711, Opus, etc.)
• Dialplan development and call flow design

Programming & Development

• Strong proficiency in Java, C/C++, Python, and SQL
• Experience with CI/CD pipelines and modern development workflows
• Infrastructure as Code practices
• Containerization with Docker and Kubernetes

Cloud & Infrastructure

• Hands-on experience with AWS services: EC2, EKS, Lambda, S3, SNS, SQS, CloudFront
• Linux systems expertise: performance tuning, networking, file systems
• Database experience with:
• Relational: MySQL, PostgreSQL
• NoSQL: Redis, MongoDB

Problem-Solving & Debugging

• Proven troubleshooting skills in complex, distributed production environments
• Systematic debugging approach for real-time communication systems
• Experience analyzing performance bottlenecks and system failures

Nice to Have

• Experience with WebRTC
• Familiarity with Kamailio, OpenSIPS, or other SIP proxies
• Knowledge of PSTN interconnection and carrier integrations
• Previous UCaaS or CPaaS platform experience
• Contributions to open-source telephony projects
• Experience with monitoring and observability tools (Prometheus, Grafana, Datadog)

Why This Role Matters

As a FreeSWITCH Developer at Vonage, you'll work on voice infrastructure that powers critical business communications globally. Your code will directly enable features that millions of users depend on daily, and you'll have the opportunity to shape the architecture of next-generation voice platforms.

Work Style

• Ownership mindset — Take features from concept to production
• Collaborative approach — Work across teams while driving your work independently
• Customer focus — Balance feature velocity with reliability and user experience
• Continuous improvement — Stay current with telephony trends and share knowledge with the team

#LI-CK1

Senior Database Solution Architect - MS SQL  (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET) timings: 5:30 PM to 2:30 AM
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.'

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in the following areas:
• MS SQL Server: Architecting and managing large scale high-availability and disaster recovery (HADR) solutions. Including extensive experience with Always On Availability Groups (AG), Failover Cluster Instances (FCI), and log shipping.
• Cloud DBs: Design and management of Azure SQL, Azure SQL MI or Amazon RDS/Aurora or GCP CloudSQL
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: Oracle, IBM DB2, Informix, PostgreSQL.
• Containerized DBs
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

About the Role

Are you a passionate, energetic technologist who thrives in fast-paced environments and enjoys working across evolving technology stacks? Do you enjoy debugging complex systems, solving real business problems, and obsessing over the details that make systems reliable and scalable?

We’re looking for a SDE III to join the 3PIP Integrations and Inventory System team.

You will help design, build, and operate systems that sits between Groupon and 3rd party partners, along with our internal inventory management systems.

We are an AI driven organisation and highly promotes usage of AI agentic workflows to drive rapid growth and optimizations.

Our Technology Landscape (Today & Tomorrow)

Our platform is evolving, and we want engineers who are excited to grow with it.

Current Stack

• Backend services primarily in Java
• Cloud infrastructure on GCP/AWS
• Relational databases: MySQL, PostgreSQL
• REST / JSON APIs
• CI / CD - Jenkins
• Message brokers
• Docker, Kubernetes
• GitHub,
• JIRA,
• ELK

Future Direction

• (Key Focus) Moving towards Encore( TypeScript-first backend services)
• Building on GCP with Encore as a core development framework Emphasis on modern cloud-native architecture, service ownership, and developer productivity
• While experience with Java and AWS is important today, every new engineer should be excited about—and willing to actively contribute to—our transition toward a TypeScript and GCP-based ecosystem.

What You’ll Do:

• Design and develop services within Groupon’s microservices ecosystem Work on highly scalable e-commerce systems involving inventory, fulfillment, and 3rd party integrations.
• Collaborate with cross-functional teams to deliver business features and ensure compliance requirements are met
• Build service artifacts, plan deployments, and coordinate timelines with project and partner teams
• Improve system reliability by defining service-level metrics, setting alerting thresholds, and automating responses
• Create and maintain clear technical documentation
• Mentor junior engineers and support their technical growth
• Drive technical discussions and influence architectural decisions within the team

We’re Excited About You If You Have:

• BE/BTech or ME/MTech in Computer Science, Software Engineering, or a related field
• 6+ years of industry experience building and operating production systems Strong coding skills in Java , with openness to learning TypeScript
• Solid computer science fundamentals (Design Patterns, Data Structures & Algorithms, Operating Systems , DBMS)
• Experience with relational databases such as MySQL or PostgreSQL
• Exposure to NoSQL databases is a plus
• Exposure to AI tools like claude code, cursor are highly preferred.
• Experience developing and supporting web applications in transactional environments
• Strong debugging and troubleshooting skills
• Good communication and collaboration skills across technical and non-technical stakeholders
• Interest or experience in cloud platforms (AWS today, GCP tomorrow) is highly valued

We Value Engineers Who Are:

• Customer-focused – You understand that customer impact drives everything we build
• Obsessed with Quality – Your production code is reliable, scalable, and maintainable
• Team player – You collaborate, listen, and give constructive feedback
• Fast learners – You enjoy learning new technologies and applying them quickly
• Pragmatic – You balance speed and quality, knowing when trade-offs make sense
• Owners – You take responsibility for outcomes and actively contribute to business success

About the Role

The Ethos SRE group is looking for a SRE Engineer to collaborate with other teams to improve service reliability, automation  and observability and improve their application maturity, reliability, and production readiness. In this role, you will create new infrastructure and support tools, help other teams debug issues, and act as advisors regarding production readiness when new services are being designed and brought online. The person in this role will exhibit good mentoring and coding skills as well as the ability to solve complex problems related to reliability . This role also requires good interpersonal skills and the ability to motivate other teams to adopt best practices concerning reliability.

Duties and Responsibilities:

• Collaborate with other engineering teams to enhance the reliability and performance of applications, up to and including submitting PRs to their codebases with improvements
• Assist with automation, continuous integration and delivery of applications and configurations
• Assist other teams with designing solid foundations and best practices around running services in production environments
• Assist other teams implementing infrastructure level dependencies
• Help other teams identify, design, and monitor proper service-level indicators (SLI) and service-level objectives (SLO)
• Design and implement cross company resilient and reliable tools, resources, infrastructure and processes

Qualifications and Skills:

• 4+ years of full time software engineering experience in relevant role (Backend SWE / SRE / DevOps / Infrastructure / Operations)
• Experienced with software engineering best practices – design patterns, code reviews, testing, etc.
• Ability to communicate technical specifications both verbal and written
• Strong interpersonal skills
• A strong desire to remove any toil from a system
• Preferred background in distributed systems and infrastructure
• Preferred engineering experience in TypeScript, GoLang, Python, PostgreSQL, AWS
• Preferred experience with Kubernetes and Kubernetes operators
• Preferred knowledge of CI/CD systems
• Preferred experience with: Terraform, argoCD, Atlantis, GitHub Actions and DataDog

#LI-Hybrid
#LI-KP1

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most,and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies with more than 125 Bn$ of asset under management.AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

About the Role

We're looking for a Senior Software Engineer to join our Core Wireless team, responsible for the design, development, deployment and maintenance of all mobile network infrastructure and associated applications. You'll work at the intersection of software engineering and mobile telecoms, with a particular focus on IoT.

What You'll Do

• Design, build and maintain APIs, services, and systems across Telnyx's Wireless stack
• Debug production issues across services and multiple levels of the stack
• Troubleshoot connectivity issues across roaming partners globally
• Collaborate with engineers across the company to build new features
• Improve engineering standards, tooling, and processes

What We're Looking For

• Strong experience in one or more of: Go, Elixir, or Erlang; C++ in a telecoms context is a plus
• Familiarity with 3GPP specifications and mobile core protocols (e.g. AMF, UPF, SMF or equivalent 4G/5G elements)
• Experience with IoT platforms and mobile network systems and protocols
• Understanding of relational databases and SQL
• Practical skills in automated testing and a passion for robustness
• Strong sense of ownership, innate curiosity, and willingness to learn

Bonus Points

• Experience with IoT/M2M solution design and implementation
• Familiarity with multi-vendor IPX connectivity
• Message queues: RabbitMQ or Kafka
• PostgreSQL or exotic databases/key-value stores (e.g. ETS)
• Docker, Kubernetes, Consul, Jenkins, Prometheus
• Basics of web front-end

#LI-VIETNAM
#LI-KG1
#LI-INDIA

About the Role

The AI Integrations team builds the tools that bring AI into Telnyx's core products — think voice agents, intelligent messaging, and real-time AI features that improve our customer experience. We need a strong fullstack engineer to help us move faster.

This is a mid-level IC role. You'll own features end-to-end: building React interfaces, writing Node.js services, wiring up databases, and shipping things that work. AI experience isn't required — you'll pick that up here. What matters is that you can build solid fullstack products and want to learn.

What You'll Work On

• Fullstack features across our AI product suite — frontend to database
• Integrating LLMs and AI capabilities into real world applications (with support from the team)
• Building interfaces that make complex AI tools feel simple
• Shipping iteratively — we value working software over perfect plans

Tech Stack

Core (you should know this well):
React 18+, TypeScript, Tailwind CSS, Node.js, PostgreSQL, Prisma, TanStack Query, Docker, Kubernetes

Bonus (nice to have, happy to teach):
Next.js 15+, LLM integration, LangChain/LangGraph RAG/Embeddings, Vector Databases, MCP, WebSockets, WebRTC, Radix UI, Shadcn UI, Framer Motion

What We're Looking For

You're genuinely comfortable across the stack — not a frontend dev who can "do backend" or vice versa. You've built and shipped real features. You take ownership, communicate clearly, and don't need hand-holding.

AI interest is a plus, but we'd rather have a strong fullstack engineer who's curious than an "AI enthusiast" who can't ship.

We move fast on modern web tooling (React/Next, TypeScript, Tailwind). Expect frequent upgrades.

Values

• Ownership — you see things through
• Collaboration — you work well with others and communicate proactively
• Adaptability — comfortable with ambiguity and changing requirements
• Growth mindset — eager to learn, takes feedback well


#LI-KG1 #LI-VIETNAM
#LI-INDIA

Senior Database Solution Architect - Oracle (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET)
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in at least two of the following areas:
• Oracle Stack: Oracle RAC with ASM, Pluggable databases, Data Guard, Golden Gate, Exadata and ExaCC/CS
• Cloud DB Architectures: Design and management of IaaS/PaaS databases within major cloud ecosystems (OCI, AWS, Azure, or GCP).
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: SQL Server, IBM DB2, Informix, PostgreSQL.
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

About the Role

As a full stack engineer, you'll work across the stack and be responsible for the entire customer journey from where we store data to our server application logic, to our front end UI. You’ll work closely with our other engineers to build and ship key features. We are detail oriented and value clean, modular, and high-performing code. You'll help architect and build our internal standards and frameworks. We love engineering-wide consistency in code and have huge ambitions on both client and server side.

Duties and Responsibilities:

• Collaborate with other engineers and designers to develop and ship features
• Design, build, and maintain our API’s
• Write efficient, modular, and reusable libraries and abstractions
• Design and build internal tooling to improve development efficiency
• Find and solve performance issues
• Participate in code reviews
• Communicate best practices to the team
• Mentor junior engineers

Qualifications and Skills:

• 4+ years of full time engineering experience
• Expert in Javascript
• Full stack engineering experience in Javascript/NodeJS, Python/Django, 
• Expert in SQL, database design, and familiarity with PostgreSQL
• Experience with front and back end architectural patterns of large, high-scale web applications
• Ability to design clean APIs and understanding of performance issues
• Experienced with software engineering best practices – design patterns, code reviews, unit and integration testing, etc.
• Ability to communicate technical specifications both verbal and written
• Command over front-end web technologies such as HTML, CSS, React
• Solid CS fundamentals – including data structures and algorithms
• Understanding of security, common attacks and defenses
• Knowledge of build systems configurations and setup - such as Webpack
• Experience with infrastructure, distributed systems, and deploying apps into a high-scale environment

#LI-KP1

#LI-Hybrid

The Community You Will Join:

The Guest & Host team based out of India, operates to ensure high quality supply and merchandising differentiates our brand, by providing tools to be used by 1000+ operations agents for supply vetting and quality moderation. As Airbnb expands beyond the core, it is looking to onboard supply outside of the core stays business which requires enhancing our tools. The operational tasks we face are diverse and rapidly evolving. The current manual processes and lack of optimum tooling capabilities hinder the ability of operation agents to work more efficiently, maintain business continuity, and achieve higher scale. 

The Difference You Will Make:

As a Data Engineer on the Guest & Host team, you will play a pivotal role in shaping the systems that onboard and manage the highest quality supply across Airbnb. You’ll build robust data pipelines and platforms that power end-to-end visibility for supply operations, from onboarding and regulatory compliance to AI-assisted vetting and listing quality enforcement. Your work will directly enable operations, product, and ML teams to scale trusted supply globally, ensuring every home, service, and experience meets Airbnb’s standards. Whether it’s surfacing insights to optimize onboarding flows, enabling smarter audit triggers, or supporting nuanced licensing workflows, your contributions will be foundational to helping hosts join Airbnb efficiently and ensuring guests have access to safe, high-quality stays.
As you build and maintain key components of the critical data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 6+ years of relevant industry experience 
• BE/B.tech in computer science or relevant technical field
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

Have you ever wondered what happens inside the cloud?DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world. We want people who are passionate about building features that you and your peers will loveDigitalOcean’s Managed Databases Team builds and runs the services and infrastructure for the DigitalOcean DBaaS product.We handle the full life cycle of Managed Databases from the APIs which let users create and manage their databases to software that automates the running, upgrading, and health of databases. We are looking for a seasoned engineer to work on a small team focused on Database-as-a-Service products. This role reports to the Engineering Manager of the Datastores and Messaging team within the Platform-as-a-Service (PaaS) organization in Engineering. This role will involve technical leadership to scale our database platform to meet the needs of our growing customer base. This position is able to be hired in India, located in our hub city of Hyderabad.

What You’ll Do:

• Developing external customer-facing Managed Database products (MySQL, PostgreSQL, Caching, Kafka, OpenSearch, MongoDB).
• Acting as a subject matter expert on MySQL and PostgreSQL, providing guidance on performance optimizations and administrative issues.
• Developing and maintaining distributed systems in a Kubernetes environment that is globally distributed.
• Authoring and giving feedback on technical designs.
• Developing APIs with Go.
• Mentoring other engineers on best practices and performing code reviews.
• Providing the last-line of support for DBaaS products.
• Collaborating with agile, self-managed teams of peers across other products. This includes engineers, product managers, designers, and more.
• Leveraging technologies such as Temporal, gRPC, REST, Kubernetes, Docker, Kafka, Grafana and more.
• Integrating with many components across the DigitalOcean stack.

What You’ll Add to DigitalOcean:

• 8+ years of experience working in fast-paced, agile product development environments.
• 5+ years of experience working as a subject-matter expert with PostgreSQL and/or MySQL databases.
• Strong knowledge of microservices using container workload engines and frameworks such as Docker and Kubernetes.
• A track record of building and maintaining large distributed systems.
• Experience with resilience engineering, fault tolerance, and failure domains as they relate to database backends.
• Strong spoken and written technical capabilities in developing and maintaining software.
• Experience with concurrency patterns in Go.
• Experience with CI/CD pipelines and frameworks.
• A strong background and exposure to different databases, both SQL and NoSQL paradigms.
• Familiarity with prevalent message bus and queuing technologies.
• Passion for collaborating directly with customers to discover their Jobs To Be Done, and developing simple delightful solutions to solve those jobs.
• Strong interpersonal and communication skills to collaborate and demonstrate empathy with key stakeholders, both spoken and written.

This is a hybrid role based out of Hyderabad, India. 

#LI-Hybrid 

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Why this role matters:

We're looking for a skilled Full Stack Engineer to join our expanding Jumper AI / Conversational Commerce platform team. This role requires robust experience in both frontend development (Vue.js / React.js) and backend development (Golang, Gin/Echo/Fiber). You will be instrumental in the design, development, and maintenance of scalable, secure, and high-performing applications that power our conversational commerce platform. This platform is used globally by enterprises to provide personalized, omnichannel experiences to their customers.

This position offers the chance to work across the entire technology stack, from crafting intuitive and dynamic user interfaces to building APIs and backend services deployed on Google Cloud Platform. You will collaborate closely with cross-functional teams, including design, product, data, and DevOps, to deliver impactful, customer-centric solutions.

Your key responsibilities:

• Design and build interactive, responsive frontend applications using Vue.js / React.js, and modern JavaScript.
• Translate UI/UX designs from Figma into high-quality, production-ready frontend code.
• Architect, build, and maintain backend services and REST APIs using Python (FastAPI, Flask, Django).
• Integrate frontend applications with backend APIs and third-party services to deliver seamless user experiences.
• Design and optimize data models, caching strategies, and database queries for performance and scalability.
• Deploy, scale, and operate applications on Google Cloud Platform with a focus on reliability and observability.
• Collaborate closely with Product, Design, QA, and Engineering teams; conduct code reviews and mentor junior engineers.

What you'll bring

• 5 plus years of hands-on full stack development experience in production environments.
• Strong proficiency in Vue.js or React.js, modern JavaScript (ES6+), HTML, and CSS.
• Solid backend engineering experience with Golang,  Gin / Echo / Fiber.
• Experience working with SQL and NoSQL databases such as PostgreSQL, BigQuery, Redis, or Datastore.
• Hands-on experience deploying and operating applications on Google Cloud Platform.
• Understanding of secure coding practices, authentication, and authorization using OAuth2 / JWT.
• Strong collaboration skills and experience working in Agile teams using Jira and Confluence.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

Experience we consider a plus:

• Experience building SaaS, e-commerce, or conversational AI platforms.
• Exposure to CI/CD pipelines using GitHub Actions or GCP Cloud Build.
• Experience optimizing frontend performance, accessibility, and responsiveness across devices.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

About Black Duck Software:

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open-source components, and application behaviour. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

Key Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Total years of work experience: 5+ years.
• Proficiency in programming languages, primarily Java Advantage.
• Strong experience in Database - PostgreSQL - Performance optimization, Scaling
• Experience with Java, Typescript and Golang (Must).
• Experience with Distributed Microservices Architecture.
• Experience with different Service Communication technologies (Messaging queue-based communication Kafka/RabbitMQ).
• Experience with Security in Microservices Architecture and knowledge of common authentication protocols and implement and maintain security measures to protect the application and user data from unauthorized access.
• Familiarity with various authorization models, Role-Based Access Control.
• Experience with web development frameworks and Services (GRPC, RESTful).
• RDBMS (PostgreSQL) databases experience and design persistence layer for Microservices using ORMs.
• Familiarity with cloud platforms (AWS, GCP, Azure), including a background in Cloud infrastructure & Services (network, cloud storage-related solutions, IAM, Cloud function, etc.).
• Excellent problem-solving skills, with an ability to troubleshoot complex issues efficiently.
• Ability to work effectively in a collaborative team environment and communicate with both technical and non-technical stakeholders.

Key Responsibilities:

• Ensure the timely delivery of high-quality software that meets business requirements and maintains high performance in production environments.
• Contribute to the design and development of cloud-native applications using Golang, ensuring scalability, reliability, and security.
• Provide technical leadership and mentorship to a small team of engineers, guiding them through best practices and technical challenges.
• Conduct code reviews and perform thorough testing to identify and resolve issues.
• Collaborate closely with other engineering teams, product managers, and stakeholders to define technical solutions and deliverables.
• Communicate effectively with stakeholders to provide updates on progress, challenges, and solutions.

About Black Duck Software:

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open-source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

Summary of the role:

• We are looking for a highly skilled and motivated Engineer to join our dynamic team.
• In this role, you will contribute to the development of cloud-native software solutions and the design and implementation of batch job orchestration systems using Java, Postgres, Docker, Kubernetes and any cloud platforms such as AWS, GCP, and Azure.
• Your responsibilities will also include mentoring a small team of engineers to ensure the delivery of high-quality software on schedule.
• If you are passionate about cloud technologies, microservices architecture, and working with large-scale data, this is an excellent opportunity to advance your career.

Key Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Total years of work experience: 5+ years.
• Proficiency in programming languages, primarily Java Advantage.
• Strong experience in Database - PostgreSQL - Performance optimization, Scaling
• Experience with containerization technologies such as Docker and Kubernetes (Must).
• Experience with Container Orchestration Technology, and certifications in Kubernetes (CKA, CKAD) are highly desirable.
• Design and develop scalable, resilient, and efficient Kubernetes-based SaaS Enterprise application
• Experience with Distributed Microservices Architecture.
• Experience with different Service Communication technologies (Messaging queue-based communication Kafka/RabbitMQ).
• Experience with Security in Microservices Architecture and knowledge of common authentication protocols and implement and maintain security measures to protect the application and user data from unauthorized access.
• Familiarity with various authorization models, Role-Based Access Control.
• Experience with web development frameworks and Services (GRPC, RESTful).
• RDBMS (PostgreSQL) databases experience and design persistence layer for Microservices using ORMs.
• Experience with Monitoring and Logging in Distributed Systems (e.g., Prometheus, Grafana) and logging solutions (e.g., ELK stack, Fluent) is a plus.
• Familiarity with cloud platforms (AWS, GCP, Azure), including a background in Cloud infrastructure & Services (network, cloud storage-related solutions, IAM, Cloud function, etc.).
• Excellent problem-solving skills, with an ability to troubleshoot complex issues efficiently.
• Ability to work effectively in a collaborative team environment and communicate with both technical and non-technical stakeholders.

Key Responsibilities:

• Ensure the timely delivery of high-quality software that meets business requirements and maintains high performance in production environments.
• Contribute to the design and development of cloud-native applications using Go, ensuring scalability, reliability, and security.
• Provide technical leadership and mentorship to a small team of engineers, guiding them through best practices and technical challenges.
• Conduct code reviews and perform thorough testing to identify and resolve issues.
• Collaborate closely with other engineering teams, product managers, and stakeholders to define technical solutions and deliverables.
• Communicate effectively with stakeholders to provide updates on progress, challenges, and solutions.

Job Title: Staff Software Engineer, AI

Locations: Bangalore

Reports to: Sr. Manager, AI/ML.

A quick snapshot…

As a Staff Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…

This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions.

Are you the person we’re looking for?

Experience: 8+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions.

Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage.

GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance.

Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence.

Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion.

Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset.

Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement.

Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health.

Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability.

Educational : Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred.

Here’s what will give you an edge…

Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency.

Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP, AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA).

AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments.

Preferred Skill sets/Tools:

AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g., TensorFlow, PyTorch) and experience with data preprocessing and model evaluation.

Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB, MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus.

Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software.

Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale.

#LI-UB1

Role: Senior Software Engineer / Principal Software Engineer            

Office Location: Bangalore

We write our code leveraging the Microsoft stack (ReactJS, .NET Core, MS SQL Server , PostgreSQL, AWS).  We’re relentless, curious, and doing the right thing is a tenet of the team’s approach to solving business problems. We are flexible and collaborative. We all enjoy our work and helping one another is baked into our operating DNA. We believe in Agile software development principles. We are huge proponents of SOLID principles.

The Software Engineer at Analytical Wizards:

• Has  5+ years of experience in a fast-paced Agile software development environment
• Ensures software is built, according to business and technical specifications, on top of an error-free and high-performing platform
• Innovates!
• Performs code reviews and QA on team members’ work items
• Participates in Agile ceremonies
• Mentors more junior members of the team
• Is always thinking of better ways to do something
• Isn’t afraid to fail
• Cares deeply about quality
• Can deliver high-quality software with minimal supervision

Required Skills:

• Experience of 5+ years experience in C#, .NET & .NET Core (5 & above)
• Solid computer science fundamentals - OOP concepts, SOLID principles & design patterns
• Experience with any relational databases (MS SQL / MySQL /Postgres)
• Experience working with public cloud like Azure/AWS/GCP (AWS is preferred)
• Experience with containerization using Docker & microservices
• Experience developing RESTful APIs
• Understanding of various types of testing (unit, system, integration, performance)
• General familiarity with cloud computing and serverless architectures

Preferred Skills:

• Experience in front-end development (React, JavaScript, KendoUI)
• Exposure to GraphQL (HotChocloate)
• Exposure to DataDog or similar logging & monitoring tool
• Familiarity with NoSQL databases (MongoDB /DocumentDB)

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

About Company

Company Name: AnalyticalWizards Services Pvt. Ltd.

Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.

Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning

Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068

Industry: Software Development and Data Science

The Problem

OpenFX processes billions of dollars in transaction volume every month across global corridors. Our systems power pricing, transaction execution, settlement, reconciliation, and risk management. These systems must remain available, observable, and correct under retries, partial failures, external partner downtime, and sudden traffic spikes.

As volume scales from billions to tens of billions, operational complexity increases faster than headcount. Without strong DevOps ownership, we risk silent failures, slow incident response, fragile deployments, and growing operational debt.

We need DevOps Engineers who can own production reliability, design safe deployment systems, and reduce operational risk through automation and strong engineering judgment.

If we do not invest in this now, engineering velocity and system trust will degrade.

What You Will Actually Do & Own

In your first 6 to 12 months, you will:

1. Own reliability and operability of 1 to 2 production services, including services on the money path.
2. Design and maintain CI/CD pipelines that enable frequent, safe deployments.
3. Define and improve observability across metrics, logs, and alerts.
4. Participate in on call rotations and lead incident response when needed.
5. Identify and reduce operational risk by improving resilience and failure handling.
6. Automate repetitive operational workflows such as deployments, rollbacks, and recovery steps.
7. Partner with Backend, Security, and Infra teams to translate system requirements into infrastructure solutions
8. Improve reliability metrics such as availability, MTTR, alert quality, and incident frequency.

What Success Looks Like

You will be measured on:

• System reliability: Services meet defined SLOs for availability and latency
• Operational clarity: Issues are detected via monitoring rather than customer reports
• Incident handling: Incidents are mitigated quickly with limited blast radius
• Automation: Manual operational work decreases over time
• Judgment: Infrastructure tradeoffs are deliberate and defensible
• Trust: Engineering teams rely on the platforms you operate

Requirements

Required (Non negotiable)

• 3 to 7 years experience operating production systems
• Strong fundamentals in Linux, networking, and cloud infrastructure
• Experience running containerized workloads in production
• Hands on experience with CI/CD pipelines
• Experience designing monitoring and alerting systems
• Proven experience handling production incidents
• Ability to clearly explain operational decisions

Preferred (Accelerates ramp, not required)

• Experience with Kubernetes or similar orchestration platforms
• Infrastructure as Code experience (Terraform or equivalent)
• Operational experience with PostgreSQL, Redis, Kafka, or similar systems
• Experience in fintech or high transaction volume systems
• Security and compliance exposure
• Experience mentoring junior engineers

Why This Role

Impact: You operate systems that move real money.

Ownership: You own reliability outcomes, not just tooling.

Learning: You work on complex, failure prone systems.

Scope: You help define DevOps standards as the company scales.

Access: You work closely with senior engineers and leadership.

Role: Senior Software Engineer

Job Summary:

Utilize advanced Python technologies and frameworks to design, develop, and maintain scalable backend systems and microservices for products in marketing analytics and real-world evidence analytics. As a senior contributor, you will provide technical leadership, lead backend development efforts, mentor team members, and drive technical excellence. Collaboration will occur within cross-functional teams, including UI designers, data engineers, frontend developers, client-facing teams, product management, and project management, while adhering to agile methodologies and scrum practices to deliver robust, integrated analytics solutions.

Responsibilities:

•  Architect, develop, and optimize scalable backend components, microservices, and RESTful APIs using Python frameworks such as Django and FastAPI.
• Implement real-time features and asynchronous processing with WebSockets and Redis for enhanced application performance.
• Lead the backend development team by delegating tasks, coordinating efforts, and ensuring timely delivery of high-quality features.
• Provide technical leadership through mentoring junior developers, conducting thorough code reviews, and enforcing best practices in software design and implementation.
• Lead collaboration with data engineers, frontend developers, and stakeholders to gather requirements, define technical specifications, and ensure seamless integration across layers.
• Perform advanced troubleshooting and debugging of complex issues in production and development environments, including performance bottlenecks and system failures.
• Contribute to architectural decisions, system design, and performance optimization in containerized environments using Docker and Kubernetes.
• Participate actively in the full software development lifecycle, encompassing planning, development, testing, deployment, and maintenance within an agile framework.
• Maintain effective communication in a globally distributed team, utilizing tools such as Git for version control and JIRA for project tracking.

Qualifications:

• Minimum 7+ years of professional experience in Python backend development, with expertise in frameworks such as Django and FastAPI.
• Proven track record in designing and implementing RESTful APIs, microservices architectures, and real-time applications using WebSockets.
• Strong proficiency with caching solutions like Redis and relational databases such as PostgreSQL, including query optimization and schema design.
• Deep understanding of object-oriented programming, design patterns, and software architecture principles.
• Proficiency with ORM libraries (e.g., SQLAlchemy or Django ORM).
• Advanced experience in Linux environments, containerization with Docker, and orchestration using Kubernetes.
• Proficiency in code versioning with Git, including advanced workflows and branching strategies.
• Hands-on experience with agile methodologies, scrum processes, and tools such as JIRA.
• Demonstrated expertise in debugging, performance tuning, security best practices, and complex problem-solving.
• Excellent communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholders in a distributed team environment.

Role : Senior Software Development Engineer in Test (SDET)

Experience : 2- 5 years

Location : Bangalore

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

ROLE OVERVIEW

We are looking for a motivated and experienced Senior SDET to join our Engineering Quality team in Bangalore. In this role, you will own and drive the quality of our IoT device and software ecosystems — building robust test frameworks, validating hardware-software integrations, and ensuring our fleet safety products deliver consistent, reliable performance in real-world conditions. You will collaborate closely with hardware engineers, firmware developers, backend engineers, and product teams.

KEY RESPONSIBILITIES

• IoT Device Validation: Design and execute end-to-end test plans to validate hardware and software modules of IoT devices, including firmware behaviour, sensor integrations, and communication interfaces.
• Test Automation: Develop and maintain automated test scripts and suites that verify device functionality across real-time operating conditions, edge cases, and failure scenarios.
• Simulation & Emulation: Build tooling to simulate real-world IoT device conditions to verify device resilience without solely relying on physical test environments.
• Data Analysis & Anomaly Detection: Monitor, query, and analyse large-scale device datasets and telemetry logs to proactively detect anomalies, regressions, and performance degradation.
• Framework Development: Contribute to the architecture and continuous improvement of the in-house test automation framework — making it extensible, maintainable, and reusable across teams.
• CI/CD Integration: Integrate automated tests into CI/CD pipelines to enable rapid feedback on every build and release cycle.
• Defect Management: Identify, document, and triage defects with clear reproduction steps and root-cause analysis; track issues to resolution in collaboration with development teams.
• Process Improvement: Champion quality best practices — code reviews, test coverage standards, and shift-left testing approaches.

MANDATORY SKILLS

PREFERRED SKILLS

• Experience testing IoT or embedded Linux-based devices.
• Exposure to AI/ML-driven products or large-scale telemetry data pipelines.
• Familiarity with Agile / Scrum development methodologies.
• Proficiency with Git and collaborative code-review workflows.

EXPERIENCE & QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Electronics, or a related engineering discipline.
• 2–4 years of experience in SDET, or quality engineering roles.
• Demonstrated experience building or contributing to test automation frameworks from scratch.
• Prior experience testing IoT, embedded, or hardware-software integrated systems is a strong advantage.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn

• Innovate beyond our existing products and bring new ideas to life for Celonis.
• Ensure high quality and continuously improve procedures and practices.
• Work closely with your fellow engineers, project managers, and designers to create cohesive and efficient solutions.
• Collaborate with adjacent teams to drive a holistic project success spread across multiple geographies
• Learn and grow, not only in technical expertise but also in any other necessary aspects of making our projects reality.
• Brainstorm with the entire Celonis Labs team, research potential solutions, and ultimately bring them to life.

• Bachelor's or master's degree in a technical field (e.g., Computer Science, Software Engineering) or equivalent experience.
• 5+ years of experience as Backend Engineer with strong expertise in building microservices based products using Java, Spring framework, JPA, Hibernate is a must.
• Experience with building data pipelines in Databricks, ETL, Apache spark is a big plus.
• Relational databases; PostgreSQL a plus.
• Proficient in building cloud-native distributed systems.
• Able to demonstrate a generalist skill set across multiple technical areas besides the Backend, DevOps, Cloud Infrastructure.
• Ability to analyse and design complex software.
• Experience building scalable, fault-tolerant distributed systems.
• Proven background in building cloud-native software in the Kubernetes ecosystem, as well as with and on Hyperscalers such as AWS.
• Deep understanding of modern engineering practices (Git strategy, CI/CD, testing, …) and how to apply these to enable a team of multiple engineers.
• Problem-first attitude: you’re able to understand the needs of our customers and see technology as a means to an end, not an end in itself.
• Ability to quickly learn new things without tight supervision.
• Problem-solving attitude.
• Collaborative team spirit.

About the Role:

As a Staff Backend Engineer, you will play a critical role in designing and building scalable platform services and systems that power our core platform. You will collaborate closely with engineers across teams, product managers, and partner functions to deliver high-quality solutions — and you’ll set a high bar for execution, clarity, and engineering quality.

This role is for an engineer who combines deep technical judgment with strong leadership and ownership. You’ll lead complex initiatives end-to-end, drive alignment across teams, and influence platform direction through architectural decisions, best practices, and innovation. You’ll serve as a multiplier — not only writing excellent code, but raising the capabilities of the teams around you.

Duties and Responsibilities:

Technical Leadership & Ownership

• Own and drive the technical roadmap for key platform areas, balancing immediate delivery needs with long-term architecture
• Lead the design, development, and maintenance of complex backend systems and distributed services
• Make high-leverage architecture decisions that improve platform scalability, reliability, security, and developer velocity
• Identify and proactively address systemic issues across services (performance, cost, reliability, operability) and drive durable solutions

Project Leadership & Execution

• Lead multi-team initiatives from concept to launch, including planning, sequencing, risk management, execution, rollout, and post-launch iteration
• Partner cross-functionally with engineers, PMs, designers, and non-technical stakeholders to define requirements, drive alignment, and deliver outcomes
• Break down ambiguous problem spaces into structured plans and milestones; ensure accountability across teams
• Communicate strategy, progress, and tradeoffs clearly to technical and non-technical audiences, including leadership

Platform & Developer Experience

• Architect, build, and evolve API frameworks and platform capabilities used across multiple teams
• Establish and improve patterns for backend development (service templates, shared libraries, tooling, standards, and documentation)
• Champion engineering best practices across teams — consistency, testing, observability, code quality, incident response, and secure development
• Drive a culture of operational excellence through monitoring, alerting, on-call maturity, and post-incident learning

Innovation & Continuous Improvement

• Lead initiatives to evaluate and adopt new technologies, frameworks, or architectural approaches when they materially improve outcomes
• Identify opportunities for automation and tooling that reduce toil and increase engineering throughput
• Encourage experimentation and iterative improvement, creating a culture where teams ship improvements continuously and safely

Team Leadership & Mentorship

• Set a strong technical bar through code reviews, architectural guidance, and hands-on contributions
• Mentor and support junior and mid-level engineers; coach senior engineers through high-impact execution and leadership moments
• Enable engineers across teams to succeed by providing clarity, context, and unblock support; help raise overall execution quality
• Represent backend/platform engineering in cross-team planning, design reviews, and strategic conversations

Qualifications and Skills:

• 10+ years of full-time engineering experience, ideally in high-scale, high-complexity environments
• Demonstrated experience designing and delivering backend architectures from the ground up and successfully evolving them over time
• Strong understanding of distributed systems, API design, data modeling, and performance tradeoffs
• Strong track record of leading multi-team projects — from planning through delivery — with measurable impact
• Hands-on engineering experience with several of the following: TypeScript, Go, Python, PostgreSQL, Kubernetes, React, AWS
• Skilled in software engineering best practices: design patterns, testing strategies, observability, code quality, secure development
• Proven ability to influence technical direction, align stakeholders, and drive execution across teams
• Excellent verbal and written communication skills; able to explain complex ideas to technical and non-technical stakeholders
• High degree of ownership, proactive problem-solving, and the ability to operate with urgency when needed
• Strong CS fundamentals including data structures, algorithms, and understanding of security principles and common attack vectors
• Familiarity with LLM implementations, including practical integration patterns (e.g., prompt orchestration, retrieval, evaluation, safety/guardrails, latency/cost considerations)
• Familiarity with end-to-end product development, including building across backend and modern web frameworks and delivering complete user-facing experiences
• Experience establishing and driving team KPIs, with a focus on measurable outcomes such as reliability, latency, cost efficiency, quality, and delivery velocity

Nice to Have (Optional)

• Experience owning and scaling a platform used by multiple product teams
• Experience driving architecture modernization (service decomposition, monolith to services, data migrations, infra upgrades)
• Experience with observability, SRE practices, incident response, and production hardening
• Proven ability to drive improvements in engineering velocity through tooling and automation

#LI-Hybrid
#LI-NG1

#LI-Hybrid

#LI-KP1

About the Role:

As a Backend Software Engineer in the Core Platform Engineering team, you’ll be responsible for building and scaling core backend systems that power our cybersecurity products. You will work on high-impact engineering problems with a focus on performance, scalability, and reliability. This role is best suited for engineers who love building systems, writing clean code, and want to grow their skills in system design and backend infrastructure.

What You'll Do:

• Backend development in NodeJS + Typescript
• Design data models and manage databases (PostgreSQL, MongoDB, elastic search etc.) for performance and reliability.
• Collaborate with cross-functional teams (Product, Frontend, Infra) to deliver features end-to-end.
• Implement observability practices – logging, monitoring, alerting.
• Work with containerized environments (e.g., Docker) and contribute to CI/CD pipelines.
• Participate in code reviews, technical discussions, and mentoring when applicable.

What We're Looking For:

• 3+ years of backend development experience.
• Strong in Golang/Python/Node.js/Typescript, with hands-on coding and debugging skills.
• Good understanding of data structures, algorithms, and problem solving.
• Solid knowledge of SQL/NoSQL data modeling and performance tuning.
• Exposure to basic system design and a willingness to improve architectural thinking.
• Experience working with concurrent systems and caching mechanisms like Redis is a plus.
• Willingness to learn, take feedback, and grow with structured mentorship.

Nice to Have:

• Familiarity with Docker, CI/CD, Linux, and RESTful API standards.
• Understanding of scalable system design and cloud-native development.
• Experience in cybersecurity product development or interest in the space.

About the role

Every day, millions of developers use HackerRank to prove their skills. We're looking for a Senior Backend Software Development Engineer who can drive the technical direction of critical backend systems and lead the delivery of high-impact, platform-level initiatives. You will own the architecture and evolution of core backend services, mentor engineers across teams, and be a key technical decision-maker ensuring our platform remains fast, reliable, and scalable as we grow our global user base.

What you’ll do

• Architect, design, and lead the implementation of complex backend systems and services that power core product experiences at scale.
• Define and drive technical strategy for your domain, making key decisions on system design, technology choices, and long-term architectural direction.
• Own the end-to-end reliability and performance of critical backend services, establishing SLOs, monitoring, and incident response best practices.
• Design scalable API frameworks and data models that serve as foundations for multiple product teams and external integrations.
• Lead cross-functional technical initiatives spanning multiple teams, coordinating with frontend, infrastructure, product, and design stakeholders.
• Identify and drive large-scale refactoring efforts, tackling tech debt and evolving legacy systems into modern, maintainable architectures.
• Mentor and grow engineers on the team through design reviews, code reviews, and hands-on technical guidance.
• Contribute to engineering-wide standards, tooling, and processes that raise the bar for code quality and developer productivity.

Who you are

• Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale.
• Expert in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js) with strong fundamentals across the stack.
• Proven ability to design and build distributed systems - you've made meaningful architectural decisions around service decomposition, data consistency, fault tolerance, and observability.
• Deep expertise with relational databases (PostgreSQL, MySQL) and NoSQL stores, including schema design, query optimization, and data modeling for high-throughput workloads.
• Strong understanding of caching strategies (Redis/Memcached), asynchronous messaging (Kafka/RabbitMQ), and event-driven architectures.
• Hands-on experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code practices.
• Track record of leading technical projects from ambiguous problem statements through to production delivery.

AI fluency

• Deep, hands-on proficiency with AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code) - you don't just use them, you've developed workflows and best practices around them that you can teach others.
• Strong working knowledge of LLMs and agentic AI systems - you understand model capabilities, limitations, context management, tool use, and can reason about when and how to integrate AI into backend systems.
• Proven ability to leverage AI across the full software development lifecycle: architecture exploration, implementation, code review, test generation, documentation, incident analysis, and technical writing.
• Solid understanding of AI/ML fundamentals: transformer architectures, embedding models, inference optimization, RAG patterns, fine-tuning vs. prompt engineering trade-offs, and evaluation methodologies.
• Ability to evaluate and make technical recommendations on AI tooling, APIs, and integration patterns for your team and domain - including cost, latency, reliability, and security considerations.
• You actively follow developments in AI research and tooling, can separate hype from real engineering value, and drive adoption of AI-augmented practices within your team.

Even better if you have

• Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements.
• Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application.
• Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization.
• Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams.
• A history of driving engineering culture improvements - whether through RFC processes, architecture review boards, or engineering blog contributions.

You will thrive in this role if

• You think beyond the immediate task and consider the long-term health, extensibility, and operational cost of the systems you build.
• You take ownership not just of your own code, but of the overall quality and direction of the systems your team delivers.
• You are energized by ambiguity - you can take a loosely defined problem, structure it, and drive it to a well-engineered solution.
• You lead by influence, earning trust through strong technical judgment and a collaborative, ego-free approach.
• You genuinely enjoy making other engineers better through mentorship, knowledge sharing, and raising the engineering bar.

Narvar is growing! We are looking for Senior Software Engineers that enjoy working on both APIs and UIs. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Fullstack Software Engineer, you will have a direct impact on our customer-facing products and work with modern technologies like NodeJS, React, PostgreSQL and GraphQL to ship complex features that drive millions of views.

Day-to-day

• Implement new product features & support/ extend existing ones
• Build REST and GraphQL APIs that support a high volume of traffic
• Build frontend platform components leveraged across our internal and external products
• Contribute to our overall architecture and development experience partnering with other senior engineers

What we're looking for

• You have a BS/MS in computer science, information systems, or equivalent
• You have 7+ years of experience building reliable, scalable, and high-quality systems
• Experience with a frontend framework(s), such as React, Svelte Angular, Vue or Ember
• Experience building well-designed software with NodeJS, React and PostgreSQL
• Experience developing consumer facing applications consuming various APIs from a microservice backend system
• Experience defining REST or GraphQL APIs for new features
• Knowledge of full development life cycle and computer science fundamentals
• Experience with mentoring other engineers
• Previous startup experience strongly preferred
• Proficiency in utilising AI tools like Claude, Cursor, Copilot etc

Bonus point

• Experience working with Java, SpringBoot or Golang knowledge is a plus point

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-PR1

#LI-Hybrid

We are undergoing a radical transformation—and we’re seeking engineering leaders for the Marketing org (Organic or paid marketing domains), powering millions of real-time communications and defining the future.

Our mission is to drive engagement and conversions by reaching the right users with the right message at the right time—without relying on paid media.

Our development ecosystem:

• Languages: Java, Spring, Ruby
• Frontend: NodeJS, ReactJS
• Databases: MySQL, PostgreSQL, Redis, Memcache
• Infrastructure: AWS, GCP, Kubernetes, Docker, Terraform
• Messaging: Kafka, RabbitMQ, ActiveMQ
• Monitoring & Logging: ELK, Wavefront, Splunk
• Development Tools: GitHub, Jenkins, JIRA, Confluence, Asana

Your Responsibilities:

As an Engineering Manager II (EM II), your work will directly contribute to our business-critical platforms and global communications infrastructure. You will be accountable for:

🌟 1. Customer Communication Excellence

• Drive reliability, performance, and personalization across our Dispatch and Subscription systems.
• Achieve a 99.99% delivery success rate and under 1s latency for real-time communications.

🌟 2. Subscription Platform Growth

• Lead engineering teams focused on the evolution and scalability of our subscription systems.
• Enable 2x growth in subscriber engagement and conversion over the next 12 months.

🌟 3. Platform Scalability & Operational Efficiency

• Reduce technical debt and optimize resource usage across core services by modernizing legacy infrastructure and adopting cloud-native patterns.
• Achieve a 30% reduction in platform operational costs while improving performance benchmarks.

🌟 4. Engineering Team Performance & Growth

• Build high-performing, autonomous, and globally distributed teams that execute with agility and ownership.
• Maintain 90%+ team engagement and less than 10% regrettable attrition, with measurable velocity improvements.

🌟 5. AI-First Transformation Enablement

• Champion the integration of AI/ML where it enhances business outcomes, from system automation to intelligent routing and customer experience.
• Deliver at least 2 AI-driven features or systems into production per year.

You’ll spend time on the following:

• Take full ownership of the project deliveries across multiple platform services.
• Collaborate cross-functionally to ensure delivery of business features aligned with cost, scale, and speed goals.
• Drive technical discussion and decisions within the team’s scope, participate in design and code reviews 
• Hire and develop the team members, and manage their performance actively
• Lead and mentor engineers and managers, focusing on impact, autonomy, and innovation.
• Establish and enforce engineering best practices, especially in a microservices, cloud-native, CI/CD environment.
• Drive architectural decisions that align with Groupon’s transformation and cost optimization objectives.
• Manage team health and performance through coaching, feedback, and regular career development conversations.
• Lead with empathy, vision, and a strong bias for measurable results.

We’re excited about you if you have:

• BE/BTech or ME/MTech degree in Computer Science, Software Engineering from a recognised institute
• 10+ years of overall industry experience with 4 years of leadership (hands-on engineering management) role in developing and supporting web applications, micro services in a distributed environment
• Experience with managing platform services, delivering projects in a dynamic environment
• Experience with managing high-performance individuals in different time zones.
• Good communication and collaboration skills, and the ability to deal with ambiguity.
• Strong experience in programming languages - Java and competent in designing and building enterprise-scale applications, common frameworks, etc.
• Experience building and scaling large-scale distributed systems and development experience with service-oriented architectures/microservices
• Prior AWS/GCP/Azure/Pivotal Cloud Foundry experience is a must.
• Proven success managing and scaling platform services in fast-moving environments
• Experience leading cross-regional teams and driving platform-level strategies
• Strong understanding of cloud infrastructure, distributed systems, and messaging patterns
• Passion for mentorship, performance management, and Values ​​alignment.
• Commitment to customer impact, technical quality, and agile practices

We value Managers who are:

• Customer-Driven: You make decisions anchored in customer outcomes.
• Operationally Excellent: You scale systems without compromising efficiency.
• Strategically Minded: You prioritize initiatives that align with company growth and margin goals.
• Empowering Leader: You invest in people and create a strong team with values ​​alignment.
• AI-Forward Thinker: You embrace technology shifts and harness AI for scale and innovation.

About Easyship:

Easyship is one of the world's leading multi-carrier shipping software, built to make global eCommerce borderless. Since 2014, we've been on a mission to democratize logistics by removing the "black box" of international shipping costs and complexities. Trusted by over 100,000 brands, our platform provides a single "mission control" for global trade, offering access to 550+ courier services across 200+ destinations.

We are an award-winning, global team (Forbes 30 Under 30, TechInAsia's Best Startup) with offices in London, New York, Hong Kong, and beyond. We're growing fast, we value transparency, and we genuinely enjoy building the infrastructure that powers modern commerce. If you're ready to solve complex problems at scale, we'd love to have you join us.

Who We're Looking For:

Easyship is a shipping technology platform that connects sellers and marketplaces to couriers. Beyond that, we build and execute customised end-to-end shipping solutions for clients worldwide — combining global freight forwarding, last-mile delivery, and everything in between.

We're looking for a Senior Backend Engineer — Ruby on Rails to build and maintain the back-end of our web applications, including scaling our RESTful API, optimising response times, and creating new products that integrate with our existing platform. Our tech stack is Ruby on Rails, PostgreSQL, Redis / Sidekiq, RabbitMQ, ElasticSearch, Git / GitHub, Docker / K8s / GCP.

At Easyship, we believe the next generation of engineering excellence is defined by the ability to blend deep tech stack expertise with AI-augmented workflows. You aren't just a coder; you are an engineer who uses AI (Copilot, Cursor, LLMs) as a force multiplier to deliver high-quality, scalable systems at 2x the speed.

What you additionally need to know: This is a full-time, onsite role based in our Bengaluru (MG Road) office. The role follows UK collaboration hours (11:00 AM–8:00 PM IST) to support seamless cross-regional execution.

What You'll Be Responsible For:

• Participate in the entire product life cycle
• Drive the development of new products internally
• Leverage AI-assisted tools to accelerate development, debugging, and code generation
• Work closely with engineering leadership and the product team to establish priorities and manage our technical roadmap
• Provide training and support to internal teams
• Mentor junior developers
• Bring new development ideas to benefit the business and grow your own skills

You Might Be a Good Fit If…

• 7+ years of strong experience with Ruby on Rails and SQL databases
• Strong experience building highly scalable systems
• Writes clean, reusable, and maintainable code
• Ability to hold the team to high standards for security and data privacy practices
• Familiar with Git and Git flow; comfortable with modern project management tools
• Familiarity with containerisation (Docker, Kubernetes) and cloud platforms (GCP, AWS, or Azure)
• A background working in product teams at startups

If you're excited about this role but don't meet every requirement, we'd still love to hear from you.

What We Bring to the Table as an Employer:

• Generous remuneration and stock units
• Comprehensive health coverage
• We reimburse gym and wellness expenses so you can invest in your health
• Zomato digital meal credits and a pantry full of wholesome snacks to keep you fuelled through the workday
• The freedom to 'Work from Anywhere' for 4 weeks in a year
• Generous vacation policy, plus duvet days and mental health days to truly recharge

How we value inclusion in our recruitment practices:

Easyship is an equal opportunity employer. We make all employment decisions — recruiting, hiring, pay, benefits, training, promotion, leave, and separation — based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.

Headquartered in London with offices in New York, Hong Kong, Bangalore, Singapore, Melbourne, Toronto, and Taipei – our team is global and growing. We encourage you to apply if a challenge excites you. Come and join the Easyship team!

Don't take it from us, take it from Cristina. One of our longest serving backend engineers.

As a Senior Database Engineer at Tekion, you will design, automate, and optimise database operations across our cloud-native automotive retail platform, connecting OEMs, dealerships, partners, and consumers. You’ll be working on scaling problems, laying down processes and streamlining requirements to actual executable tasks.

You’re expected to know in-depth about different storage and replication internals, trade-offs across SQL/NoSQL technologies, distributed systems fundamentals, transaction interaction and concurrency. A combination of this with strong Python fundamentals and Python scripting experience would make you a strong candidate for this role.

You should have at least 4+ years of experience. You should know about MongoDB in depth, and at least one SQL database like MySQL, MariaDB, PostgreSQL. People who want to build systems, not just manage them.

Key Responsibilities:

1. Core Database Engineering & Distributed Systems (Primary Focus):
1. Debug and prevent concurrency issues (deadlocks, lock escalation, starvation, long-running transactions) and advise teams on safe patterns (idempotency, retries, backoff, fencing tokens).
2. B-tree/LSM trade-offs, page layout, WiredTiger cache, journaling, WAL/redo/undo, checkpoints, compaction, MVCC behaviour
3. Backups (Logical vs Physical vs Snapshots based), upgradation of database systems and versions, data migration, and Disaster Recovery implementation
4. Query planner behaviour, statistics, cardinality estimation pitfalls
5. Indexing strategies and write amplification trade-offs
2. Reliability Engineering, Observability & Incident Response :
   Build and implement database reliability practices:

1. Lead incident response and postmortems; implement preventative controls and automated remediation.
2. Implement monitoring and alerting for replication lag, lock contention, buffer/cache health, slow query patterns, storage growth, and failover events.

1. Python Automation & Platform Tooling (Required):
   Develop and maintain robust Python tooling/services for:

• Automated health checks, failover verification, backup/restore validation, and consistency checks.
• Online schema change orchestration, safe rollout/rollback workflows, and guardrails in automation.
• Performance diagnostics automation (plan capture, workload fingerprinting).
• Build scalable automation that handles millions of records/events efficiently (attention to time/space complexity).

1. Data Modelling Across SQL & NoSQL:
   Guide data modelling decisions across relational and document/Key-Value stores:

• Normalisation vs denormalisation trade-offs
• Secondary index design, hot partition mitigation, and throughput planning
• TTL, archiving, and lifecycle policies
• Define governance for data correctness, durability, and operational safety in high-throughput systems

1. Collaboration, Standards & Enablement

1. Partner with application teams to design safe data access patterns, migration strategies, and operational standards.
2. Define best practices for production change management, access controls, auditing, and compliance requirements.
3. Mentor engineers and raise the bar on database engineering craftsmanship across the org.
4.  

Qualifications & Skills

Must have

• 4+ years of work experience as an engineer in a relevant role and responsibilities.
• Strong foundation in distributed systems and database fundamentals: CAP, consensus basics, replication, failure handling, and consistency.
• Deep understanding of transaction semantics, isolation levels, MVCC, locking, concurrency failure modes, storage engines and DB internals.
• Strong Python skills for building production-grade automation and diagnostics tooling.
• Hands-on experience operating and tuning production databases (MongoDB and at least one SQL system such as MySQL, PostgreSQL, MariaDB etc).
• Strong debugging and performance analysis skills; comfortable working from metrics, logs, traces, and low-level symptoms.
• Experience working with Linux and familiarity with common commands.

Nice to Have

• Experience with multi-region data architectures, global tables, and cross-region failover strategies.
• Familiarity with AWS and MongoDB Atlas.
• Understanding of Networking concepts like VPC, subnets, security groups, CIDR, peering etc.
• Experience with Kubernetes and/or self-managed database experience
• Experience building internal platforms (self-serve database ops, policy-as-code, safe migration frameworks).

What We’re Looking For

A senior engineer who:

• Thinks in trade-offs (latency vs consistency, durability vs throughput, cost vs performance), thinks deeply.
• Can reason from first principles about database behaviour under failure and load.
• Uses Python to operationalise best practices into repeatable, safe automation and can instruct others on best practices.
• Drives reliability, performance, and correctness across both SQL and NoSQL systems.
• Leads through technical clarity, ownership, and mentorship.

• Act as a Strategic DevSecOps Technical Advisor : Engage deeply with enterprise customers to understand their architectures, development pipelines, and security goals. Architect, guide, and optimize Black Duck integrations across CI/CD environments using tools such as Jenkins, GitHub Actions, Kubernetes, Docker, Helm, and Terraform.
• Troubleshoot Complex DevSecOps Workflows : Analyze and resolve sophisticated issues across containerized systems, Linux environments, SQL platforms, and cloud‑native infrastructures. Provide root‑cause investigations that strengthen system reliability and enhance vulnerability management processes.
• Drive Technical Collaboration with Product & Engineering :Work closely with R&D, product managers, and engineering teams to validate behaviors, escalate critical findings, and influence product improvements. Convert customer challenges into actionable enhancements that shape the future capabilities of Black Duck.
• Deliver Expert Guidance on Secure SDLC Practices : Provide customers with proactive technical recommendations, best practices, and architectural guidance on open-source risk management, DevSecOps maturity, and secure development lifecycle adoption.
• Enable Successful Enterprise Deployments : Lead technical onboarding, integration reviews, and solution design discussions to ensure customers implement scalable, secure, and efficient DevSecOps workflows powered by Black Duck.
• Working a permanent EST time zone (IST 5.30 PM to 2.30 AM) as part of a 24x7 team.

What We Are Seeking

Must-Haves:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Excellent communication skills - both written and verbal.
• Experience with 3 or more of the following,
  • Troubleshooting complex applications
  • Container Orchestration tools – Docker Swarm & Kubernetes
  • Web application servers, particularly Tomcat
  • Databases, SQL
  • Jenkins, TeamCity, or other CI/CD tools, Git, Terraform.
  • Ability to read and debug code in one or more of the following: C/C++, C#, Objective-C, Java.
  • Solid understanding of Unix/Linux systems and scripting.

Preferred Skills & Experience (Nice to have)

• 3+ years of experience in technical support.
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Open Source Software
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle, SQL Server) or search services (e.g., JVM memory analysis, CPU utilization).
• Exposure to application security tools such as Coverity, Black Duck, Seeker, Fortify, Checkmarx, etc.
• Understanding of open source licenses and application security best practices.

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

About the role

As a Head of Engineering, you will play a pivotal role in overseeing the entire technical landscape of our engineering organization. You will guide and lead engineering managers and their teams while ensuring we are building scalable, secure, and innovative architectures. Working closely with business leaders and engineering managers (EMs), you will help align our technical vision with business goals and ensure a smooth pipeline from coding to deployment. The role is hands-on, requiring a mix of leadership, technical expertise, and operational excellence.

We are looking for someone who has a strong engineering background, leadership skills, and a passion for fostering collaboration and trust within teams. You will be accountable for setting technical standards, addressing technical debt, mentoring teams, and ensuring the scalability and security of the product's architecture. In addition, you will oversee team development, recruitment, and performance management to build high-performing teams capable of delivering results on time.

What you’ll get to do

• Contribute to and drive the company-wide technology strategy, ensuring the platform and broader business systems are prepared to scale reliably across markets, products, and growing transaction volumes.
• Own the technical strategy across the ecosystem, aligning architecture, infrastructure, and delivery with company goals for reliability, scalability, security, and regulatory compliance.
• Guide architectural and solution design decisions across teams, removing technical roadblocks for Engineers, and ensuring robust, future-proof system and software architecture.
• Build, lead, and scale multiple high-performing engineering teams, including managers and senior individual contributors.
• Strengthen team capacity and capability through proactive mentorship, structured career development, succession planning, and rigorous performance management.
• Drive hiring strategy and org design to support near-term and medium-term growth of the engineering organization.
• Establish and continuously improve end-to-end observability, monitoring, alerting, and incident management frameworks to support high system availability (targeting 99.9999%+ uptime).
• Improve software reliability across the platform by implementing strong operational excellence practices and incident response mechanisms.
• Set and uphold high standards for engineering excellence, including code quality, testing, QA automation, documentation, and CI/CD pipeline maturity.
• Proactively manage and reduce technical debt while leading company-wide initiatives to improve overall codebase health and maintainability.
• Improve methodologies and systems for tracking engineering metrics, system health, team performance, and developer productivity.
• Define, track, and optimize KPIs such as system performance, transaction success rates, infrastructure efficiency, cost optimization, and team velocity.
• Optimize cloud infrastructure usage and costs while maintaining performance, reliability, and security standards.
• Collaborate closely with Product, Compliance, Legal, Risk, Sales, Marketing, and Business stakeholders to ensure engineering delivery aligns with company priorities and regulatory requirements.
• Ensure systems are secure-by-design, with strong ownership of data privacy, fraud prevention, and regulatory readiness.
• Build and maintain long-term technical and architectural roadmaps to keep the platform ahead of industry and technology trends.
• Foster a high-trust, high-performance engineering culture grounded in accountability, autonomy, continuous learning, and operational excellence.
• Contribute to broader company-wide engineering initiatives across financial services and business tooling (e.g., Payment,  lending, savings, deposits, cards, and business management platforms) to elevate the overall engineering organization.

To succeed in this role, we think you should have

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 12-15 years of hands-on software development experience, including 5+ years of successfully leading engineering teams and driving large-scale technical initiatives
• Significant prior experience as a Software Engineer, with a strong track record of designing scalable systems and operating in a software architecture capacity (approximately 60/40 technical and people leadership).
• Strong backend engineering expertise, with practical experience deploying production systems (e.g., using Spring Boot or similar modern backend frameworks); frontend exposure is a plus.
• Proven experience building and maintaining CI/CD pipelines, deployment systems, and managing technical debt at scale.
• Demonstrated ability to lead managers and multiple cross-functional teams simultaneously in complex, fast-paced environments.
• Prior experience managing distributed and remote teams across multiple geographies.
• Strong experience with agile methodologies, sprint planning, and efficient technical resource management.
• Proven track record of mentoring, performance management, and developing high-performing engineering teams.
• Demonstrated ability to drive alignment across engineering and non-technical stakeholders.
• Experience introducing engineering innovations that materially improve team productivity, delivery speed, and operational efficiency.
• Experience in fintech or regulated technology environments is a strong plus, especially in high-scale platforms.
• Exposure to emerging markets or a strong interest in solving problems related to financial inclusion and financial well-being is advantageous.

Cultural Alignment (Must-Have Soft Skills)

• High Agency & Ownership: A sense of urgency and 100% involvement; you seek out impactful problems and act without waiting for permission.
• Grit: The perseverance to see complex problems through to resolution, especially when challenges are difficult.
• Clarity of Thought: The ability to articulate complex concepts and technical decisions with precision and candour.
• Empathy: Strong empathy for the business, customers, and engineering team to ensure effective prioritization and decision-making.
• No Ego: Prioritizes team success and actively collaborates with others.

Some of the technologies you’ll get to work with

• Java (latest versions)
• Spring and Spring Boot
• Docker and Kubernetes
• PostgreSQL, DynamoDB, Elastic Search
• Microservices architecture on AWS

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance,, Employee Stock Options, annual bonus, plus other benefits.

What to expect in the hiring process

• Stage 1: A preliminary phone call with one of our recruiters.
• Stage 2: System Design - You’ll be asked to solve complex system design problems to assess your technical and architectural skills.
• Stage 3: Advanced System Design & Execution - Dive deeper into technical challenges with advanced system design problems and assess your ability to execute.
• Stage 4: PM/Cultural Fit & Leadership - Explore your leadership qualities, cultural fit, and ability to drive technical teams while fostering a positive, inclusive environment.

How to apply: Please send us your CV or LinkedIn profile via our career website.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

#LI-Remote

Principal Software Engineer - Java
Zephyr Enterprise

• Lead and implement complex change, challenging business problems and build highly scalable applications
• Provide technical leadership guidance across the team and broader engineering organization.
• Serve as the primary subject matter expert, driving technical excellence and informed decision-making.

Product intro
Zephyr Enterprise is undergoing a transformation to better align our products to the end users’ requirements while maintaining our market leading position and strong brand reputation across the Test Management Vertical. 

Go to our product page if you want to know more about Zephyr Test Management Products | SmartBear.

You can even have a free trial to check it out 😊

About the role
As the Principal Software Engineer, you will be the technical liaison for the team and guide them in all technical aspects of product development. Provide technical thought leadership and deliver significant impact to the business product value, by addressing complex business wide problems using your technology expertise. You will also be responsible for setting the strategic direction by identifying technology and process changes that deliver long term benefits and drive activity to implement changes across the product. You should also be able to successfully lead and implement complex change, particularly relating to software platforms and customer solutions, applying effective stakeholder management skill.

• Customise, enhance, troubleshoot and document components developed per requirements and design. Conduct assessments and provide work effort estimations to senior leadership.
• Review approaches and help find optimal solutions to the problems, provide high quality code reviews and maintain highly performant and testable code by following strong design patterns alongside mentoring and coaching developers in the team.
• Work with the Solution Architects and Engineering Manager to optimize update and maintain current code base whilst adding to it.
• Providing technical thought leadership and delivering a significant impact to the business (product value) by addressing complex business problems that are business-wide and require depth and breadth of technology expertise.
• Conduct assessment and provide work effort estimations
• Should have experience with unit and integration testing. You believe in and encourage extensive test coverage and seek to automate testing whenever possible.
• Will be responsible for designing and conducting a high-quality code-review process and maintaining highly performant, testable code by following strong software design patterns.
• You will work with the Solution Architect, Engineering Manager and other senior developers to optimize, update, and maintain the current code base while adding to it.
• You are very well acquainted with best practices around project deployment and educate the team about the same.
• Provide guidance and mentor developer on coding and technical aspects
• You will be helping the Engineering Manager in the hiring process by making sure that we are able to select the right team members.
• You will report to the Engineering Manager managing the team.

We are looking for someone who can act as a subject matter expert on all areas of back end Java 8 and higher development.

• You should have 12+ years of experience as an individual contributor and have excellent research skills to frame technical solutions for complex business problems.
• Also be able to show a strong track record of using strong analytical skills and intuition to analyse data and interpret business insights and trends.
• In-depth knowledge on Spring Boot, Spring Framework, Spring MVC, Spring Security, Spring Data, and Hibernate. Java Reflection, IOC, AOP, and OOP / OOD.
• Should have strong experience working with AWS technologies like Lambda functions, SQS, SNS, RDS, DynamoDB. RDBMS (MSSQL, MySQL, or PostgreSQL) and NoSQL DB.
• Passionate about Root Cause Analysis (RCA) and solving problems in Production. Elasticsearch server cluster optimization or Experience with Atlassian suite of Products and the related ecosystem of Plugins would be advantageous.

• Expertise on application security including authentication, authorization, encryption and security testing.
• Experience with Messaging Queue preferably RabbitMQ, ActiveMQ/Artemis.
• Should enjoy breaking down complex problems into small tasks and PRs to deliver value safely and incrementally. 
• Should consider testing, monitoring, and observability first-order priorities. Should own the code flow until the code runs in production and returns the results and metrics that are expected
• Should have very strong experience in profiling and impact analysis for code being written
• Team player with strong communication and interpersonal skills
• Should have very strong experience in the best practices around developer tooling and workflows. 

Why you should join the SmartBear crew:

• You can grow your career at every level.
• We invest in your success as well as the spaces where our teams come together to work, collaborate, and have fun.
• We love celebrating our SmartBears; we even encourage our crew to take their birthdays off.
• We are guided by a People and Culture organization - an important distinction for us. We think about our team holistically – the whole person.
• We celebrate our differences in experiences, viewpoints, and identities because we know it leads to better outcomes.

Did you know:

• Our main goal at SmartBear is to make our technology-driven world a better place.
• SmartBear is committed to ethical corporate practices and social responsibility, promoting good in all the communities we serve.
• SmartBear is headquartered in Somerville, MA with offices across the world including Galway Ireland, Bath, UK, Wroclaw, Poland and Bangalore, India.
• We’ve won major industry(product and company) awards including B2B Innovators Award, Content Marketing Association, IntellyX Digital Innovator and BuiltIn Best Places to Work.

SmartBear is an equal employment opportunity employer and encourages success based on our individual merits and abilities without regard to race, color, religion, gender, national origin, ancestry, mental or physical disability, marital status, military or veteran status, citizenship status, age, sexual orientation, gender identity or expression, genetic information, medical condition, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other legally protected status.

The Community You Will Join:

The Payments team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.

The Difference You Will Make:

Our team charter is on enabling Airbnb to comply with Tax, Payments,and Legal regulations so that our Hosts can continue to operate in regulated geos. Our products ingest, process, validate, and deliver large datasets to government authorities (often partnered with tax remittance) so our data must be of the highest accuracy and quality. As you build and maintain key components of the critical Compliance data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s DataEngineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
• Develop high quality data assets for product use-cases by partnering with Product, AI/ML and Data Science.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 6+ years of relevant industry experience
• BE/B.tech in computer science or relevant technical degree
• Hands on experience in DSA coding -Data structure and algorithm
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The Community You Will Join:

The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.

The Difference You Will Make:

We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve.

A Typical Day /Responsibilities:

• Lead the design, implementation, and testing of data systems, from architecture to production.
• Build batch and real-time data systems that support business needs and critical products.
• Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.
• Design and optimize data models to efficiently meet business and product requirements.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.
• Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.
• Contribute to long-term data strategies and influence data engineering practices across the organization.
• Mentor and guide team members, fostering best practices for data quality and governance.
• Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.

Your Expertise:

• 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD).
• Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
• Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
• Proven track record of designing and optimizing batch and real-time data pipelines.
• Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.
• Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
• Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
• Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
• Experience with integrating machine learning models into data systems (preferred).
• Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
• Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.